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Spectral Ordering Assessment Using Spectral Median Filters

机译:使用谱中值滤波器进行谱排序评估

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Distance-based mathematical morphology offers a promising opportunity to develop a metrological spectral image processing framework. Within this objective, a suitable spectral ordering relation is required and it must be validated by metrological means, e.g. accuracy, bias, uncertainty, etc. In this work we address the questions of suitable ordering relation and its uncertainty for the specific case of hyperspectral images. Median filter is shown to be a suitable tool for the assessment of spectral ordering uncertainty. Several spectral ordering relations are provided and the performances of spectral median filters based on the aforementioned ordering relations are compared.
机译:基于距离的数学形态学为开发计量光谱图像处理框架提供了一个有前途的机会。在这个目标之内,需要一个合适的光谱排序关系,并且必须通过计量手段来验证它,例如:准确性,偏差,不确定性等。在这项工作中,我们针对高光谱图像的特定情况解决合适的排序关系及其不确定性的问题。已显示中值滤波器是评估光谱有序不确定性的合适工具。提供了几种频谱排序关系,并比较了基于上述排序关系的频谱中值滤波器的性能。

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